Data collecting method based on Internet

Abstract

The invention discloses a data collecting method based on the Internet. In the method, agents are arranged on each sub network, and the draw-in operation is carried out in real time or at regular time according to unified formats; collected behavioral data is encapsulated, packed and stored into a data base; after the initial data is obtained, the data also needs to be associated and normalized, and the collected data is converted into data forms capable of being easily analyzed and processed; and the main steps of the association processing and the normalization processing are divided into three processes of denoising, association and marking. In the method, behavioral science and behavioral theory of college students are used as the basis, key techniques such as the agent, corresponding analysis methods and the like are introduced, and a platform for collecting and storing the Internet digital study behavior information is constructed.

Description

technical field [0001] The invention belongs to the technical field of information management, and relates to a method for collecting data based on the Internet. Background technique [0002] The rapid development of computer network technology and multimedia technology directly promotes the continuous transformation of modern teaching towards network and digitalization, which greatly enriches our learning resources and learning methods. At the same time, the opportunities and challenges brought about by this transformation have also attracted the attention of scholars at home and abroad, leading to the proposal of a new concept of Internet digital learning behavior and the successful development of academic or commercial teaching products such as OCW and OLI. [0003] At present, most of the research on Internet digital learning behaviors focuses on the relevant theoretical research on digital learning, that is, research on the relationship between participants and members ...

AI Technical Summary

Problems solved by technology

The disadvantages of these two data collection methods are: the questionnaire method is highly subjective due to its data source, so the accuracy of the data has a lot to do with the quality of the investigators and the sample size and distribution of the respondents. Although the data source of the log acquisition method is objective, it can only lock the learning resources in a limited resource platform and cannot record and analyze the user's local operation behavior, so the research results are often inconsistent with the resource platform's The properties are related, and the conclusions are difficult to be universal

However, due to the limitations of its data collection methods, the existing research has not given satisfactory research conclusions on some problems of college students in computer learning, such as how students study and entertain when they are in computer learning? What are the behaviors of students on the computer? The efficiency of computer learning for students, etc.

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